<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine Learning on Hitesh Pattanayak</title><link>/tags/machine-learning/</link><description>Recent content in Machine Learning on Hitesh Pattanayak</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 12 Oct 2024 00:00:00 +0000</lastBuildDate><atom:link href="/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Understanding Neural Networks: Weights, Biases, and Activations</title><link>/posts/deep-learning/</link><pubDate>Sat, 12 Oct 2024 00:00:00 +0000</pubDate><guid>/posts/deep-learning/</guid><description>This article breaks down the key mathematical concepts behind neural networks, including weights, biases, and activations, with an example of handwritten digit recognition.</description></item><item><title>Sub-Word Tokenization: Breaking Words Like a Pro</title><link>/posts/tokenization/</link><pubDate>Wed, 02 Oct 2024 00:00:00 +0000</pubDate><guid>/posts/tokenization/</guid><description>Take a detour before diving into transformers and explore sub-word tokenization techniques like Byte-Pair Encoding, WordPiece, and Unigram models. Learn how they handle rare words, reduce vocabulary size, and make models more efficient!</description></item><item><title>N-Grams Uncovered: A Key Component of Large Language Models</title><link>/posts/n-grams/</link><pubDate>Sun, 29 Sep 2024 00:00:00 +0000</pubDate><guid>/posts/n-grams/</guid><description>Decoding N-Grams: The Heart of Large Language Models</description></item><item><title>Beginner’s Guide to AI: Diving Into My First AI Blog Post</title><link>/posts/first-ai-post/</link><pubDate>Sat, 28 Sep 2024 00:00:00 +0000</pubDate><guid>/posts/first-ai-post/</guid><description>Why am I writing these AI blogs? Discover my journey into AI and LLMs!</description></item></channel></rss>